Overgeneralization

Differences between training and inference conditions.

Loss of old knowledge when learning new tasks.

Train/test environment mismatch.

Model trained on its own outputs degrades quality.

Model-generated content that is fluent but unsupported by evidence or incorrect; mitigated by grounding and verificat...